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Finding the best method to deliver chemotherapeutic drugs to tumor cells can be tricky. Ideally, the treatments target tumor cells while leaving healthy cells alone.
"Opposites charges attract; like charges repel" is a fundamental principle of basic physics. But a new study from Oxford University, published today in Nature Nanotechnology, has demonstrated that similarly charged particles ...
A revolutionary nanomaterial with huge potential to tackle multiple global challenges could be developed further without acute risk to human health, research suggests. The study is published in the journal Nature Nanotechnology.
Lung cancer is one of the most common cancers and has one of the lowest survival rates in the world. Cytokines, which are small signaling proteins, such as interleukin-12 (IL-12), have demonstrated considerable potential ...
In a study published in Nature Nanotechnology, scientists from Delft University of Technology present a new technique to identify proteins. Proteins carry out essential functions in our cells, while playing a crucial role ...
SMU nanotechnology expert MinJun Kim helped a team of researchers at The University of Texas at Austin to develop a less expensive way to detect nuclease digestion—one of the critical steps in many nucleic acid sensing applications, ...
In a recent breakthrough, DNA sequencing technology has uncovered the culprit behind cassava witches' broom disease: the fungus genus Ceratobasidium. The cutting-edge nanopore technology used for this discovery was first ...
Researchers have systematically studied the relations between symmetries and high-order non-Hermitian exceptional points (EPs), and observed the third-order exceptional line (EL) in a nitrogen-vacancy (NV) spin system. The ...
In a study published in MedComm—Biomaterials and Applications Professor Changyang Gong and his Ph.D. student Shiyao Zhou elaborate on the mechanism of CRISPR/Cas9 system. The CRISPR/Cas9 system consists of Cas9 protein and ...
Carbon nanostructures could become easier to design and synthesize thanks to a machine learning method that predicts how they grow on metal surfaces. The new approach, developed by researchers at Japan's Tohoku University ...
